The Fourth Biometric - Vein Recognition

A reliable biometric system, which is essentially a pattern-recognition that recognizes a person based on physiological or behavioral characteristic [1], is an indispensable element in several areas, including ecommerce(e.g. online banking), various forms of access control security(e.g. PC login), and so on. Nowadays, security has been important for privacy protection and country in many situations, and the biometric technology is becoming the base approach to solve the increasing crime. As the significant advances in computer processing, the automated authentication techniques using various biometric features have become available over the last few decades. Biometric characteristics include fingerprint, face, hand/finger geometry, iris, retina, signature, gait, voice, hand vein, odor or the DNA information [2], while fingerprint, face, iris and signature are considered as traditional ones.

[1]  Shankar M. Krishnan,et al.  Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter , 2002, IEEE Transactions on Biomedical Engineering.

[2]  Land,et al.  No perfect two-state cellular automata for density classification exists. , 1995, Physical review letters.

[3]  Anil K. Jain,et al.  Biometric Systems: Technology, Design and Performance Evaluation , 2004 .

[4]  Li Xueyan,et al.  Vein Pattern Recognitions by Moment Invariants , 2007, 2007 1st International Conference on Bioinformatics and Biomedical Engineering.

[5]  T. E. Crisan,et al.  A Low Cost Vein Detection System Using Near Infrared Radiation , 2007, 2007 IEEE Sensors Applications Symposium.

[6]  Hisao Hayakawa,et al.  Power-law behavior in the power spectrum induced by Brownian motion of a domain wall. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  R. Engelbrecht,et al.  DIGEST of TECHNICAL PAPERS , 1959 .

[8]  M. Goldbaum,et al.  Detection of blood vessels in retinal images using two-dimensional matched filters. , 1989, IEEE transactions on medical imaging.

[9]  Mathieu S. Capcarrère,et al.  Necessary conditions for density classification by cellular automata. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  Naoto Miura,et al.  Feature Extraction of Finger-vein Patterns Based on Repeated Line Tracking and Its Application to Personal Identification , 2022 .

[11]  A Hoover,et al.  Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response , 1998, AMIA.

[12]  Naoto Miura,et al.  Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image Profiles , 2007, MVA.

[13]  Sharath Pankanti,et al.  Biometric Recognition: Security and Privacy Concerns , 2003, IEEE Secur. Priv..

[14]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[15]  Shinji Takesue Characteristic Dynamics of Elementary Cellular Automata with a Single Conserved Quantity , 2008, J. Cell. Autom..

[16]  M. Wadati,et al.  Asymmetric simple exclusion process with open boundaries and Askey–Wilson polynomials , 2003, cond-mat/0312457.

[17]  G. Schütz,et al.  Phase diagram of one-dimensional driven lattice gases with open boundaries , 1998 .

[18]  T. Hattori,et al.  Additive conserved quantities in discrete-time lattice dynamical systems , 1991 .

[19]  Shinji Takesue,et al.  Boltzmann-type equations for elementary reversible cellular automata , 1997 .

[20]  J. Hashimoto,et al.  Finger Vein Authentication Technology and Its Future , 2006, 2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers..

[21]  Wendy Atkins Industry squares up to multiple opportunities , 2007 .

[22]  L Bolinger,et al.  Validation of near-infrared spectroscopy in humans. , 1994, Journal of applied physiology.

[23]  G. Leedham,et al.  Infrared imaging of hand vein patterns for biometric purposes , 2007 .

[24]  Anil K. Jain,et al.  Handbook of Fingerprint Recognition , 2005, Springer Professional Computing.

[25]  A.D. Hoover,et al.  Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response , 2000, IEEE Transactions on Medical Imaging.